I have a query
fromDate = '2021-10-01'
toDate = '2021-10-10'
dataType = 'location'
typeId = '60dd6d303da6c17209d5ef68'
workerType = 'Employee'
start_date = datetime.strptime(str(fromDate) " 00:00:00", '%Y-%m-%d %H:%M:%S')
end_date = datetime.strptime(str(toDate) " 00:00:00", '%Y-%m-%d %H:%M:%S')
if dataType == 'location':
found_location = prodLocationCollection.find_one({"_id":ObjectId(typeId)})
match_filter = {'Date':{"$gte":start_date,"$lte":end_date},
'Location':found_location["locationName"],
'locationId':{'$exists':True},
'workerType':workerType
}
elif dataType == 'user':
match_filter = {'Date':{"$gte":start_date,"$lte":end_date},
'employeeId':ObjectId(typeId),
'locationId':{'$exists':True},
'workerType':workerType
}
output = list(prodAttendanceCollection.aggregate([{'$match': match_filter},
{"$group":{'_id':{
'employeeId':'$employeeId',
'workerId':'$workerId',
'workerFullName':'$workerFullName'
},
'dailyPointsArray':{
'$push':{
'Date':'$Date',
'createdAs':'$createdAs',
'Points':'$shiftPoints'
}
},
'total_shift_points':{'$sum':'$shiftPoints'},
'total_duration':{'$sum':'$duration'},
}
},
{ '$lookup':
{
'from': "users",
'localField': "employeeId",
'foreignField': "_id",
'as': "userInfo"
}
}
]))
This is giving output
[{'_id': {'employeeId': ObjectId('60dd78184524e6c116e22a44'),
'workerId': '1008',
'workerFullName': 'RADHIKA GOTHIVREKAR'},
'dailyPointsArray': [{'Date': datetime.datetime(2021, 10, 1, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 2, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 3, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 4, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 5, 0, 0),
'createdAs': 'IN-TIME PUNCHED',
'Points': 0},
{'Date': datetime.datetime(2021, 10, 6, 0, 0),
'createdAs': 'FULL-TIME PUNCHED',
'Points': 1},
{'Date': datetime.datetime(2021, 10, 7, 0, 0),
'createdAs': 'FULL-TIME PUNCHED',
'Points': 1},
{'Date': datetime.datetime(2021, 10, 8, 0, 0),
'createdAs': 'FULL-TIME PUNCHED',
'Points': 1},
{'Date': datetime.datetime(2021, 10, 9, 0, 0),
'createdAs': 'FULL-TIME PUNCHED',
'Points': 1},
{'Date': datetime.datetime(2021, 10, 10, 0, 0),
'createdAs': 'ABSENT',
'Points': None}],
'total_shift_points': 4,
'total_duration': 0,
'userInfo': []},
{'_id': {'employeeId': ObjectId('60dd77e34524e6c116e1b27d'),
'workerId': '1365',
'workerFullName': 'HARISON NIKALJE'},
'dailyPointsArray': [{'Date': datetime.datetime(2021, 10, 1, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 2, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 3, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 4, 0, 0),
'createdAs': 'IN-TIME PUNCHED',
'Points': 0},
{'Date': datetime.datetime(2021, 10, 5, 0, 0),
'createdAs': 'IN-TIME PUNCHED',
'Points': 0},
{'Date': datetime.datetime(2021, 10, 6, 0, 0),
'createdAs': 'IN-TIME PUNCHED',
'Points': 0},
{'Date': datetime.datetime(2021, 10, 7, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 8, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 9, 0, 0),
'createdAs': 'ABSENT',
'Points': None},
{'Date': datetime.datetime(2021, 10, 10, 0, 0),
'createdAs': 'ABSENT',
'Points': None}],
'total_shift_points': 0,
'total_duration': 0,
'userInfo': []}]
As you can see everything is working but the lookup part is returning [] empty array
This is sample data of attendance & user
ATTENDANCE
{
"_id": {
"$oid": "60dd7d723fcb2eb7df248af3"
},
"workerId": "2073",
"workerFullName": "ARUN NAIR",
"workerType": "Employee",
"workerAadharCardNumber": "xxxxxxxxxx",
"Date": {
"$date": "2021-07-01T00:00:00.000Z"
},
"employeeId": {
"$oid": "60dd77c14524e6c116e1692c"
},
"Location": "HEAD OFFICE 2",
"sourceUnitType": null,
"duration": null,
"shiftPoints": null,
"createdAs": "ABSENT",
"ruleApplied": null,
"detections": [],
"locationId": {
"$oid": "60dd6d303da6c17209d5ef68"
},
"workerFaceRegistered": true
}
USER
{
"_id": {
"$oid": "60dd77c14524e6c116e1692c"
},
"workerFirstName": "ARUN",
"workerSurname": "NAIR",
"workerPhoneNumber": "xxxxxxxxxx",
"workerId": "2073",
"locationType": "HEAD OFFICE",
"locationName": "HEAD OFFICE 2",
"workerDesignation": "EXECUTIVE",
"workerDepartment": "SALES",
"workerAadharCardNumber": "xxxxxxxxxx",
"workerType": "Employee",
"workerEmail": "xxxxxxxxxxxx",
"workerStatus": "REGULAR",
"workerUsername": "2073",
"workerPassword": "$2b$12$wBrDRYgPbRxrLG8N9Wxs2eDxGVFauZMraosrkePnYWWpZmPE1ljY2",
"totalLoginAttemptLeft": 3,
"lastLocationId": {
"$oid": "60dd6d303da6c17209d5ef68"
},
"allowFencing": true,
"workerFaceRegistered": true,
"isActive": false
}
CodePudding user response:
After grouping the original fields are not longer present, so $employeeId
does not exist, which won't match anything.
Since employeeId
was moved to _id.employeeId
in the group stage, in the lookup, use localField: "_id.employeeId"